Inspiration
People are ready to contribute to the environment but it's not possible on a daily basis. This along with our concern towards global climatic change inspired us to build the project.
What it does
It collects data based on traffic and mileage as provided by the user and analyses it to provide a better driving route.
How we built it
We used linear regression along with python libraries such as scikit-learn, numpy and built a simulation of the advertisement using Adobe XD.
Challenges we ran into
It was difficult to find data sets and we got our model to 85 percent accuracy while we wanted 90 to 95 percent.
Accomplishments that we're proud of
Design prototype ready and models developed to correctly analyze the given data.
What we learned
We learnt concepts of linear regression and its usage in languages such as Python.
What's next for Drive-Right
More variables needed and a dynamic (live-time) data analysis is required. We need to link the front end along with the back-end.
Built With
- adobe-creative-suite
- google-cloud
- google-colab
- python
Log in or sign up for Devpost to join the conversation.